Create forex_signals.py

utils/forex_signals.py

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+import random
+from datetime import datetime, timedelta
+
+# Generate forex signals with new logic
+def generate_forex_signals(trading_capital, market_risk, user_timezone, leverage, stop_loss_percentage, take_profit_percentage):
+    # Example list of currency pairs (add 10 more pairs here)
+    currency_pairs = ["EUR/USD", "USD/JPY", "GBP/USD", "AUD/USD", "USD/CAD", "USD/CHF", 
+                      "NZD/USD", "EUR/GBP", "GBP/JPY", "EUR/JPY", "AUD/JPY", "EUR/AUD", 
+                      "GBP/CAD", "USD/ZAR", "EUR/CHF", "GBP/NZD"]
+
+    # Simulating generated signals
+    signals = []
+    for pair in currency_pairs:
+        # Randomized data for demonstration purposes
+        entry_price = random.uniform(1.1, 1.5)  # Entry price
+        exit_price = random.uniform(1.1, 1.5)  # Exit price
+        signal_strength = random.uniform(0.7, 1.0)  # Signal strength (0 to 1)
+        trade_duration = timedelta(minutes=random.randint(15, 120))  # Trade duration in minutes
+
+        # Calculate ROI with leverage
+        roi = ((exit_price - entry_price) / entry_price) * leverage * 100
+
+        # Calculate stop loss and take profit
+        stop_loss = entry_price * (1 - (stop_loss_percentage / 100))
+        take_profit = entry_price * (1 + (take_profit_percentage / 100))
+
+        # Generate signal dictionary
+        signal = {
+            "currency_pair": pair,
+            "entry_time": (datetime.now() + trade_duration).strftime("%Y-%m-%d %H:%M:%S"),
+            "exit_time": (datetime.now() + trade_duration).strftime("%Y-%m-%d %H:%M:%S"),
+            "roi": round(roi, 2),
+            "signal_strength": round(signal_strength * 100, 2),
+            "stop_loss": round(stop_loss, 5),
+            "take_profit": round(take_profit, 5)
+        }
+
+        signals.append(signal)
+
+    # Sort signals by ROI in descending order
+    signals = sorted(signals, key=lambda x: x["roi"], reverse=True)
+
+    # Best signal is the one with the highest ROI
+    best_signal = signals[0] if signals else None
+
+    return {
+        "all_signals": signals,
+        "best_signal": best_signal
+    }